Mathematical analysis of the impact of the media coverage in mitigating the outbreak of COVID-19

被引:19
作者
Koutou, Ousmane [1 ]
Diabate, Abou Bakari [2 ]
Sangare, Boureima [2 ]
机构
[1] Univ Joseph KI ZERBO, CUP Kaya, 01 BP 7021, Ouagadougou, Burkina Faso
[2] Univ Nazi BONI, Dept Math, 01 BP 1091, Bobo-Dioulasso, Burkina Faso
关键词
COVID-19; mitigation; Media coverage; Mathematical study; Sensitivity analysis; Herd immunity; Numerical simulation; GLOBAL STABILITY; MODEL; EPIDEMIC; DELAY; SIR;
D O I
10.1016/j.matcom.2022.10.017
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
In this paper, a mathematical model with a standard incidence rate is proposed to assess the role of media such as facebook, television, radio and tweeter in the mitigation of the outbreak of COVID-19. The basic reproduction number R0 which is the threshold dynamics parameter between the disappearance and the persistence of the disease has been calculated. And, it is obvious to see that it varies directly to the number of hospitalized people, asymptomatic, symptomatic carriers and the impact of media coverage. The local and the global stabilities of the model have also been investigated by using the Routh-Hurwitz criterion and the Lyapunov's functional technique, respectively. Furthermore, we have performed a local sensitivity analysis to assess the impact of any variation in each one of the model parameter on the threshold R0 and the course of the disease accordingly. We have also computed the approximative rate at which herd immunity will occur when any control measure is implemented. To finish, we have presented some numerical simulation results by using some available data from the literature to corroborate our theoretical findings.(c) 2022 International Association for Mathematics and Computers in Simulation (IMACS). Published by Elsevier B.V. All rights reserved.
引用
收藏
页码:600 / 618
页数:19
相关论文
共 65 条
[41]  
Mammeri Y., 2020, Comput. Math. Biophys, V8, P102, DOI [DOI 10.1515/CMB-2020-0104, /10.1515/cmb-2020-0104]
[42]  
Manfredi P., 2013, Modeling the Interplay Between Human Behavior and the Spread of Infectious Diseases
[43]   GLOBAL STABILITY OF AN SIR EPIDEMIC MODEL WITH DELAY AND GENERAL NONLINEAR INCIDENCE [J].
McCluskey, C. Connell .
MATHEMATICAL BIOSCIENCES AND ENGINEERING, 2010, 7 (04) :837-850
[44]   Modelling the impact of detection on COVID-19 transmission dynamics in Ghana [J].
Mushanyu, Josiah ;
Chazuka, Zviiteyi ;
Mudzingwa, Frenick ;
Ogbogbo, Chisara .
RMS-RESEARCH IN MATHEMATICS & STATISTICS, 2021, 8 (01)
[45]   Mathematical modeling of COVID-19 transmission dynamics with a case study of Wuhan [J].
Ndairoua, Faical ;
Area, Ivan ;
Nieto, Juan J. ;
Torres, Delfim F. M. .
CHAOS SOLITONS & FRACTALS, 2020, 135
[46]   An introduction to sensitivity assessment of simulation models [J].
Norton, John .
ENVIRONMENTAL MODELLING & SOFTWARE, 2015, 69 :166-174
[47]  
Ouedraogo H., 2018, NONLINEAR DYN SYST T, V18, P392
[48]   A review of mathematical model-based scenario analysis and interventions for COVID-19 [J].
Padmanabhan, Regina ;
Abed, Hadeel S. ;
Meskin, Nader ;
Khattab, Tamer ;
Shraim, Mujahed ;
Al-Hitmi, Mohammed Abdulla .
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 2021, 209
[49]   Impact of social media advertisements on the transmission dynamics of COVID-19 pandemic in India [J].
Rai, Rajanish Kumar ;
Khajanchi, Subhas ;
Tiwari, Pankaj Kumar ;
Venturino, Ezio ;
Misra, Arvind Kumar .
JOURNAL OF APPLIED MATHEMATICS AND COMPUTING, 2022, 68 (01) :19-44
[50]   Human-vector malaria transmission model structured by age, time since infection and waning immunity [J].
Richard, Quentin ;
Choisy, Marc ;
Lefevre, Thierry ;
Djidjou-Demasse, Ramses .
NONLINEAR ANALYSIS-REAL WORLD APPLICATIONS, 2022, 63